相关实验视频
[在数字智能背景下,中国物流行业碳排放的动态演变和转型路径]
Zi-Yan Gao1, Qian Lü1, Yao Luo1
1School of Management Science and Engineering, Beijing Information Science and Technology University, Beijing 102206, China.
Huan jing ke xue= Huanjing kexue
|March 14, 2026
概括
中国物流业的碳排放量最初上升,然后下降,数字智能是绿色发展的关键. 确定特定的数字智能途径对于实现低碳目标至关重要.
科学领域:
- 环境科学 环境科学
- 工业生态学 工业生态学
- 可持续性科学 可持续性科学
背景情况:
- 中国的物流业对于实现国家"双碳"目标至关重要.
- 了解碳排放的演变和绿色发展途径对于可持续物流至关重要.
研究的目的:
- 分析中国物流行业碳排放的动态演变.
- 探索有效的绿色和低碳发展途径,特别是在数字智能转型下.
主要方法:
- 使用碳排放系数方法计算省级物流碳排放量.
- 通过核密度分析分析了排放演变,并使用fsqca确定了路径.
- 在技术-组织-环境 (TOE) 框架内构建了一个数字化指数.
主要成果:
- 后勤碳排放呈现增长,然后下降的趋势,最初的空间两极分化随后增加了区域平衡.
- 确定了三个低碳排放的驱动模式:数字智能 - 开放式协作,技术市场协同,以及数字智能 - 环境协作.
- 缺乏数字智能和开放性是非低碳排放模式的关键因素.
结论:
- 数字智能是中国物流部门低碳发展的核心条件.
- 通过数字智能赋予物流权力,促进了高质量,可持续的发展.
- 调查结果为政府和行业在实现碳减排目标方面提供了指导.
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